• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

德克萨斯州电力需求对寒冷天气的敏感度变化。

Changing sensitivity to cold weather in Texas power demand.

作者信息

Shaffer Blake, Quintero Daniel, Rhodes Joshua

机构信息

Department of Economics, University of Calgary, Calgary, AB T2N 1N4, Canada.

Department of Mechanical Engineering, The University of Texas at Austin, Austin, TX 78712, USA.

出版信息

iScience. 2022 Mar 29;25(4):104173. doi: 10.1016/j.isci.2022.104173. eCollection 2022 Apr 15.

DOI:10.1016/j.isci.2022.104173
PMID:35434549
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9010639/
Abstract

We estimate the effect of heightened temperature sensitivity on electricity demand in Texas during the February 2021 blackout event. Using 20 years of hourly data, we estimate the relationship between temperature and electricity demand; finding demand has become more responsive to cold temperatures over time. This is consistent with the fact electric heating has similarly increased over the past 20 years in Texas. We find during the February 2021 event, average electricity demand was 8% higher, and approximately 10,000 MW higher during the peak hour, than it would have been had temperature sensitivity remained unchanged at early 2000s levels. Our results highlight that Texas's increased sensitivity to cold weather extremes is not limited to the supply side, but the demand side as well. These findings have implications to other regions that are seeking to reduce carbon emissions through the electrification of heating.

摘要

我们估计了2021年2月停电事件期间,温度敏感性增强对德克萨斯州电力需求的影响。利用20年的每小时数据,我们估计了温度与电力需求之间的关系;发现随着时间的推移,需求对寒冷温度的反应变得更加敏感。这与过去20年德克萨斯州电暖同样增加的事实是一致的。我们发现,在2021年2月的事件中,平均电力需求比温度敏感性保持在21世纪初水平不变时高出8%,在高峰时段高出约10000兆瓦。我们的结果表明,德克萨斯州对极端寒冷天气敏感性的增加不仅限于供应侧,需求侧也是如此。这些发现对其他试图通过供暖电气化来减少碳排放的地区具有启示意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b42b/9010639/3ad40cfa90cf/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b42b/9010639/0f34a7e0ec6f/fx1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b42b/9010639/b64f21ad6bf8/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b42b/9010639/08030a380787/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b42b/9010639/3ad40cfa90cf/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b42b/9010639/0f34a7e0ec6f/fx1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b42b/9010639/b64f21ad6bf8/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b42b/9010639/08030a380787/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b42b/9010639/3ad40cfa90cf/gr3.jpg

相似文献

1
Changing sensitivity to cold weather in Texas power demand.德克萨斯州电力需求对寒冷天气的敏感度变化。
iScience. 2022 Mar 29;25(4):104173. doi: 10.1016/j.isci.2022.104173. eCollection 2022 Apr 15.
2
Response of Power Plant Emissions to Ambient Temperature in the Eastern United States.美国东部地区电厂排放物对环境温度的响应。
Environ Sci Technol. 2017 May 16;51(10):5838-5846. doi: 10.1021/acs.est.6b06201. Epub 2017 May 3.
3
Using temperature sensitivity to estimate shiftable electricity demand.利用温度敏感性来估计可转移的电力需求。
iScience. 2022 Aug 17;25(9):104940. doi: 10.1016/j.isci.2022.104940. eCollection 2022 Sep 16.
4
The Environmental Consequences of Electrifying Space Heating.将空间供暖电气化的环境影响。
Environ Sci Technol. 2020 Aug 18;54(16):9814-9823. doi: 10.1021/acs.est.0c02705. Epub 2020 Jul 27.
5
Power spectrum: A detailed dataset on electric demand and environmental interplays.功率谱:关于电力需求与环境相互作用的详细数据集。
Data Brief. 2023 Dec 6;52:109788. doi: 10.1016/j.dib.2023.109788. eCollection 2024 Feb.
6
The impact of water use fees on dispatching and water requirements for water-cooled power plants in Texas.德克萨斯州用水收费对水冷式发电厂调度和用水需求的影响。
Environ Sci Technol. 2014 Jun 17;48(12):7128-34. doi: 10.1021/es500469q. Epub 2014 Jun 2.
7
Impacts of cold weather on all-cause and cause-specific mortality in Texas, 1990-2011.德克萨斯州 1990-2011 年寒冷天气对全因和特定原因死亡率的影响。
Environ Pollut. 2017 Jun;225:244-251. doi: 10.1016/j.envpol.2017.03.022. Epub 2017 Apr 5.
8
Impacts of cold weather on emergency hospital admission in Texas, 2004-2013.2004-2013 年德克萨斯州寒冷天气对急诊入院的影响。
Environ Res. 2019 Feb;169:139-146. doi: 10.1016/j.envres.2018.10.031. Epub 2018 Oct 30.
9
Spatially and Temporally Resolved Analysis of Environmental Trade-Offs in Electricity Generation.发电中环境权衡的时空分辨分析
Environ Sci Technol. 2016 Apr 19;50(8):4537-45. doi: 10.1021/acs.est.5b05419. Epub 2016 Mar 29.
10
Impact of the COVID-19 Pandemic on the U.S. Electricity Demand and Supply: An Early View From Data.新冠疫情对美国电力供需的影响:基于数据的早期观察
IEEE Access. 2020 Aug 17;8:151523-151534. doi: 10.1109/ACCESS.2020.3016912. eCollection 2020.

引用本文的文献

1
Clustering and dynamic recognition based auto-reservoir neural network: A wait-and-see approach for short-term park power load forecasting.基于聚类与动态识别的自储备神经网络:一种用于短期公园电力负荷预测的观望方法。
iScience. 2023 Jul 22;26(8):107456. doi: 10.1016/j.isci.2023.107456. eCollection 2023 Aug 18.

本文引用的文献

1
North-south polarization of European electricity consumption under future warming.未来变暖情景下欧洲电力消费的南北极化。
Proc Natl Acad Sci U S A. 2017 Sep 19;114(38):E7910-E7918. doi: 10.1073/pnas.1704339114. Epub 2017 Aug 28.
2
Climate change is projected to have severe impacts on the frequency and intensity of peak electricity demand across the United States.预计气候变化将对美国各地用电高峰期的频率和强度产生严重影响。
Proc Natl Acad Sci U S A. 2017 Feb 21;114(8):1886-1891. doi: 10.1073/pnas.1613193114. Epub 2017 Feb 6.
3
Contribution of air conditioning adoption to future energy use under global warming.
全球变暖背景下采用空调对未来能源使用的影响。
Proc Natl Acad Sci U S A. 2015 May 12;112(19):5962-7. doi: 10.1073/pnas.1423558112. Epub 2015 Apr 27.